Towards Self-Organizing Web Sites

The dynamic nature of today's world, changing environment and diversity in users' needs creates a necessity to develop a self-organizing system. The system should be capable of re-structuring and re- organizing itself based on user's requirements without being guided by any outside source, so that it is managed dynamically by interaction among its components and re-configuring itself by taking feedback from previous actions. This paper proposes a Self-Organizing Web System (SOWS) ­ a web based system that is capable of re-organizing based on the access patterns of a group of visitors. It also reduces the average time in surfing the website and hence the operating cost. The system is inspired by Ant Colony Optimization (ACO), a technique of Swarm Intelligence (SI) whereby ant colonies interact with the environment indirectly and accomplish their task. The prototype system we have developed displays results keeping in mind the navigation pattern of user, his interests and also information that the system considers useful in general with respect to all the visitors to the website.